Genome-Wide Identification of Cotton MicroRNAs Predicted for Targeting Cotton Leaf Curl Kokhran Virus-Lucknow

被引:2
作者
Ashraf, Muhammad Aleem [1 ,2 ]
Brown, Judith K. [3 ]
Iqbal, Muhammad Shahzad [4 ]
Yu, Naitong [1 ]
机构
[1] Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Haikou 571101, Peoples R China
[2] Khwaja Fareed Univ Engn & Informat Technol, Inst Biol Sci, Fac Nat & Appl Sci, Rahim Yar Khan 64200, Pakistan
[3] Univ Arizona, Sch Plant Sci, Tucson, AZ 85721 USA
[4] Univ Okara, Dept Biochem, Okara 56300, Pakistan
关键词
computational algorithms; cotton leaf curl Kokhran virus; microRNA prediction; plant host-begomovirus interactions; RNA interference; target binding sites; SMALL RNA; BEGOMOVIRUS; PLANT; DISEASE; PROTEIN; DNA; RESISTANT; DIAGNOSIS; MIRNAS; STRAIN;
D O I
10.3390/microbiolres15010001
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Cotton leaf curl Kokhran virus (CLCuKoV) (genus, Begomovirus; family, Geminiviridae) is one of several plant virus pathogens of cotton (Gossypium hirsutum L.) that cause cotton leaf curl disease in Pakistan. Begomoviruses are transmitted by the whitefly Bemisia tabaci cryptic species group and cause economic losses in cotton and other crops worldwide. The CLCuKoV strain, referred to as CLCuKoV-Bur, emerged in the vicinity of Burewala, Pakistan, and was the primary causal virus associated with the second CLCuD epidemic in Pakistan. The monopartite ssDNA genome of (2.7 Kb) contains six open reading frames that encode four predicted proteins. RNA interference (RNAi)-mediated antiviral immunity is a sequence-specific biological process in plants and animals that has evolved to combat virus infection. The objective of this study was to design cotton locus-derived microRNA (ghr-miRNA) molecules to target strains of CLCuKoV, with CLCuKoV-Lu, as a typical CLCuD-begomovirus genome, predicted by four algorithms, miRanda, RNA22, psRNATarget, and RNA hybrid. Mature ghr-miRNA sequences (n = 80) from upland cotton (2n = 4x = 52) were selected from miRBase and aligned with available CLCuKoV-Lu genome sequences. Among the 80 cotton locus-derived ghr-miRNAs analyzed, ghr-miR2950 was identified as the most optimal, effective ghr-miRNA for targeting the CLCuKoV-Lu genome (nucleotide 82 onward), respectively, based on stringent criteria. The miRNA targeting relies on the base pairing of miRNA-mRNA targets. Conservation and potential base pairing of binding sites with the ghr-miR2950 were validated by multiple sequence alignment with all available CLCuKoV sequences. A regulatory interaction network was constructed to evaluate potential miRNA-mRNA interactions with the predicted targets. The efficacy of miRNA targeting of CLCuKoV was evaluated in silico by RNAi-mediated mRNA cleavage. This predicted targets for the development of CLCuD-resistant cotton plants.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 116 条
  • [1] Engineered Disease Resistance in Cotton Using RNA-Interference to Knock down Cotton leaf curl Kokhran virus-Burewala and Cotton leaf curl Multan betasatellite Expression
    Ahmad, Aftab
    Zia-Ur-Rehman, Muhammad
    Hameed, Usman
    Rao, Abdul Qayyum
    Ahad, Ammara
    Yasmeen, Aneela
    Akram, Faheem
    Bajwa, Kamran Shahzad
    Scheffler, Jodi
    Nasir, Idrees Ahmad
    Shahid, Ahmad Ali
    Iqbal, Muhammad Javed
    Husnain, Tayyab
    Haider, Muhammad Saleem
    Brown, Judith K.
    [J]. VIRUSES-BASEL, 2017, 9 (09):
  • [2] Circular DNA enrichment sequencing reveals the viral/satellites genetic diversity associated with the third epidemic of cotton leaf curl disease
    Ahmed, Nasim
    Amin, Imran
    Zaidi, Syed Shan-e-Ali
    Rahman, Saleem Ur
    Farooq, Muhammad
    Fauquet, Claude Maurice
    Mansoor, Shahid
    [J]. BIOLOGY METHODS & PROTOCOLS, 2021, 6 (01)
  • [3] RNA Interference: Promising Approach to Combat Plant Viruses
    Akbar, Sehrish
    Wei, Yao
    Zhang, Mu-Qing
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (10)
  • [4] Amplicon-based RNAi construct targeting beta-C1 gene gives enhanced resistance against cotton leaf curl disease
    Akhtar, Sohail
    Tahir, Muhammad Nouman
    Amin, Imran
    Mansoor, Shahid
    [J]. 3 BIOTECH, 2021, 11 (06)
  • [5] Artificial microRNA-mediated resistance against the monopartite begomovirus Cotton leaf curl Burewala virus
    Ali, Irfan
    Amin, Imran
    Briddon, Rob W.
    Mansoor, Shahid
    [J]. VIROLOGY JOURNAL, 2013, 10
  • [6] Cotton leaf curl disease in Sindh province of Pakistan is associated with recombinant begomovirus components
    Amrao, Luqman
    Akhter, Sohail
    Tahir, Muhammad Nouman
    Amin, Imran
    Briddon, Rob W.
    Mansoor, Shahid
    [J]. VIRUS RESEARCH, 2010, 153 (01) : 161 - 165
  • [7] Cotton leaf curl disease in resistant cotton is associated with a single begomovirus that lacks an intact transcriptional activator protein
    Amrao, Luqman
    Amin, Imran
    Shahid, M. Shafiq
    Briddon, Rob W.
    Mansoor, Shahid
    [J]. VIRUS RESEARCH, 2010, 152 (1-2) : 153 - 163
  • [8] A novel computational approach to the silencing of Sugarcane Bacilliform Guadeloupe A Virus determines potential host-derived MicroRNAs in sugarcane (Saccharum officinarum L.)
    Ashraf, Fakiha
    Ashraf, Muhammad Aleem
    Hu, Xiaowen
    Zhang, Shuzhen
    [J]. PEERJ, 2020, 8
  • [9] Ashraf M. A., 2013, Australian Journal of Crop Science, V7, P1113
  • [10] In Silico Identification of Cassava Genome-Encoded MicroRNAs with Predicted Potential for Targeting the ICMV-Kerala Begomoviral Pathogen of Cassava
    Ashraf, Muhammad Aleem
    Ali, Babar
    Brown, Judith K.
    Shahid, Imran
    Yu, Naitong
    [J]. VIRUSES-BASEL, 2023, 15 (02):